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Abstract: From Data to Process: Learning Global Catchment Storage–Discharge Functions Through Interpretable Deep Models (AGU25)

From Data to Process: Learning Global Catchment Storage–Discharge Functions Through Interpretable Deep Models

Majid Bayati, University of British Columbia, Department of Earth, Ocean and Atmospheric Sciences, Vancouver, Canada and Ali Ameli, University of British Columbia, Department of Earth, Ocean and Atmospheric Sciences, Vancouver, BC, Canada
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